Description: Machine Learning and Data Analytics for Solving Business Problems : Methods, Applications, and Case Studies, Paperback by Alyoubi, Bader (EDT); Ncir, Chiheb-eddine Ben (EDT); Alharbi, Ibraheem (EDT); Jarboui, Anis (EDT), ISBN 3031184858, ISBN-13 9783031184857, Like New Used, Free shipping in the US This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. Th aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems.
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End Time: 2024-12-29T08:58:02.000Z
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Book Title: Machine Learning and Data Analytics for Solving Business Problems : Methods, Applications, and Case Studies
Number of Pages: Xii, 206 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Intelligence (Ai) & Semantics, Economics / General, Telecommunications, Statistics
Publication Year: 2023
Illustrator: Yes
Genre: Computers, Technology & Engineering, Business & Economics
Item Weight: 12.1 Oz
Author: Chiheb-Eddine Ben Ncir
Item Length: 9.3 in
Book Series: Unsupervised and Semi-Supervised Learning Ser.
Item Width: 6.1 in
Format: Trade Paperback
